Overview

Dataset statistics

Number of variables27
Number of observations212662
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.4 MiB
Average record size in memory224.0 B

Variable types

NUM26
BOOL1

Warnings

Kplus_IP_OWNPV is highly correlated with Kst_892_0_IP_OWNPVHigh correlation
Kst_892_0_IP_OWNPV is highly correlated with Kplus_IP_OWNPV and 1 other fieldsHigh correlation
piminus_IP_OWNPV is highly correlated with Kst_892_0_IP_OWNPVHigh correlation
Kplus_ETA is highly correlated with piminus_ETAHigh correlation
piminus_ETA is highly correlated with Kplus_ETAHigh correlation
total_mom_2 is highly correlated with Kplus_P and 2 other fieldsHigh correlation
Kplus_P is highly correlated with total_mom_2 and 2 other fieldsHigh correlation
total_mom_sum is highly correlated with Kplus_P and 2 other fieldsHigh correlation
mom_rat_4 is highly correlated with mom_rat_1High correlation
mom_rat_1 is highly correlated with mom_rat_4High correlation
ThetaH is highly correlated with Kst_892_0_cosThetaHHigh correlation
Kst_892_0_cosThetaH is highly correlated with ThetaHHigh correlation
Kplus_P_x is highly correlated with Kplus_P and 2 other fieldsHigh correlation
B_FDCHI2_OWNPV is highly skewed (γ1 = 57.53995501) Skewed
Kst_892_0_cosThetaH has unique values Unique
random has unique values Unique
total_mom_2 has unique values Unique
total_mom_sum has unique values Unique
mom_rat_1 has unique values Unique
mom_rat_5 has unique values Unique
ThetaH has unique values Unique
Kplus_P_x has unique values Unique
Kplus_P_y has unique values Unique

Reproduction

Analysis started2020-11-01 14:10:29.009394
Analysis finished2020-11-01 14:13:06.926060
Duration2 minutes and 37.92 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

B_OWNPV_CHI2
Real number (ℝ≥0)

Distinct196761
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.9172548
Minimum0.2044422179
Maximum108.0674133
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:07.092912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.2044422179
5-th percentile7.971154213
Q119.25030899
median29.61574364
Q341.07190323
95-th percentile58.22266483
Maximum108.0674133
Range107.8629711
Interquartile range (IQR)21.82159424

Descriptive statistics

Standard deviation15.39294391
Coefficient of variation (CV)0.4978755069
Kurtosis-0.07339448478
Mean30.9172548
Median Absolute Deviation (MAD)10.85039806
Skewness0.4722501824
Sum6574925.241
Variance236.9427221
MonotocityNot monotonic
2020-11-01T15:13:07.224419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
39.837661744< 0.1%
 
9.4103288654< 0.1%
 
32.222705844< 0.1%
 
21.456066134< 0.1%
 
32.791923524< 0.1%
 
26.690855034< 0.1%
 
33.55022434< 0.1%
 
30.916023254< 0.1%
 
26.992521294< 0.1%
 
32.256275184< 0.1%
 
23.481382374< 0.1%
 
37.695541384< 0.1%
 
49.222545624< 0.1%
 
22.612121584< 0.1%
 
28.388837813< 0.1%
 
22.098581313< 0.1%
 
37.116062163< 0.1%
 
25.651178363< 0.1%
 
11.555119513< 0.1%
 
36.079090123< 0.1%
 
35.538307193< 0.1%
 
50.87318423< 0.1%
 
30.895021443< 0.1%
 
35.221782683< 0.1%
 
24.313270573< 0.1%
 
Other values (196736)212573> 99.9%
 
ValueCountFrequency (%) 
0.20444221791< 0.1%
 
0.52025079731< 0.1%
 
0.53473192451< 0.1%
 
0.56775367261< 0.1%
 
0.59667927031< 0.1%
 
0.66985863451< 0.1%
 
0.73460763691< 0.1%
 
0.75301849841< 0.1%
 
0.76199668652< 0.1%
 
0.77185493711< 0.1%
 
ValueCountFrequency (%) 
108.06741331< 0.1%
 
106.39688111< 0.1%
 
106.22954561< 0.1%
 
105.25944521< 0.1%
 
104.91186521< 0.1%
 
104.30451972< 0.1%
 
104.075471< 0.1%
 
103.17642971< 0.1%
 
102.75413511< 0.1%
 
102.14743041< 0.1%
 

B_IPCHI2_OWNPV
Real number (ℝ≥0)

Distinct197988
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.831039345
Minimum3.798873294e-05
Maximum7.999920311
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:07.438129image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3.798873294e-05
5-th percentile0.1564529739
Q10.9254123679
median2.287487599
Q34.426295211
95-th percentile7.134066807
Maximum7.999920311
Range7.999882322
Interquartile range (IQR)3.500882843

Descriptive statistics

Standard deviation2.216653638
Coefficient of variation (CV)0.782982279
Kurtosis-0.7219754066
Mean2.831039345
Median Absolute Deviation (MAD)1.589531675
Skewness0.6390136786
Sum602054.4891
Variance4.913553351
MonotocityNot monotonic
2020-11-01T15:13:07.570079image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.9763227952< 0.1%
 
0.52081345372< 0.1%
 
4.1089805352< 0.1%
 
4.6483852892< 0.1%
 
1.9787098142< 0.1%
 
4.0781931942< 0.1%
 
0.33774692492< 0.1%
 
2.4143913222< 0.1%
 
1.1942703132< 0.1%
 
1.6333800542< 0.1%
 
1.0332147012< 0.1%
 
1.6187006852< 0.1%
 
6.0121332212< 0.1%
 
7.293444132< 0.1%
 
1.2367183612< 0.1%
 
3.8254290682< 0.1%
 
2.569815792< 0.1%
 
2.1234958522< 0.1%
 
2.3123730512< 0.1%
 
1.5275778462< 0.1%
 
1.6935895472< 0.1%
 
0.99720631242< 0.1%
 
0.55432372062< 0.1%
 
5.7623392262< 0.1%
 
5.3499930622< 0.1%
 
Other values (197963)212612> 99.9%
 
ValueCountFrequency (%) 
3.798873294e-051< 0.1%
 
6.004121917e-051< 0.1%
 
6.023605028e-051< 0.1%
 
8.896061043e-051< 0.1%
 
9.759065094e-051< 0.1%
 
0.00012455940561< 0.1%
 
0.00015202970691< 0.1%
 
0.00015980600281< 0.1%
 
0.00017464104431< 0.1%
 
0.00017671742981< 0.1%
 
ValueCountFrequency (%) 
7.9999203112< 0.1%
 
7.9998659351< 0.1%
 
7.999460621< 0.1%
 
7.9990600181< 0.1%
 
7.9990453771< 0.1%
 
7.9990154291< 0.1%
 
7.9989992561< 0.1%
 
7.9989373292< 0.1%
 
7.9989268451< 0.1%
 
7.9988442062< 0.1%
 

B_FDCHI2_OWNPV
Real number (ℝ≥0)

SKEWED

Distinct197942
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3233.107894
Minimum31.38745792
Maximum1971087.1
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:07.791835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum31.38745792
5-th percentile159.6548491
Q1385.1385529
median901.7916862
Q32564.877351
95-th percentile12100.02335
Maximum1971087.1
Range1971055.713
Interquartile range (IQR)2179.738798

Descriptive statistics

Standard deviation14985.88304
Coefficient of variation (CV)4.635132366
Kurtosis5647.336003
Mean3233.107894
Median Absolute Deviation (MAD)646.0304562
Skewness57.53995501
Sum687559190.9
Variance224576690.6
MonotocityNot monotonic
2020-11-01T15:13:07.933080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
95.673069864< 0.1%
 
163.25424114< 0.1%
 
198.99550873< 0.1%
 
95.59546423< 0.1%
 
114.19650643< 0.1%
 
2548.6015763< 0.1%
 
554.71440443< 0.1%
 
118.4159743< 0.1%
 
2326.1932693< 0.1%
 
183.96771013< 0.1%
 
164.35210842< 0.1%
 
217.43864012< 0.1%
 
94.158057042< 0.1%
 
196.69782662< 0.1%
 
961.53015442< 0.1%
 
393.50647892< 0.1%
 
201.46684352< 0.1%
 
100.54647452< 0.1%
 
865.27501662< 0.1%
 
258.32479292< 0.1%
 
4955.4901322< 0.1%
 
501.50539722< 0.1%
 
767.10224232< 0.1%
 
3817.0852162< 0.1%
 
3304.8878832< 0.1%
 
Other values (197917)212600> 99.9%
 
ValueCountFrequency (%) 
31.387457921< 0.1%
 
33.35864111< 0.1%
 
33.590432681< 0.1%
 
34.853700481< 0.1%
 
36.086556881< 0.1%
 
39.33595561< 0.1%
 
41.032098141< 0.1%
 
41.223395251< 0.1%
 
43.537329911< 0.1%
 
43.597606271< 0.1%
 
ValueCountFrequency (%) 
1971087.11< 0.1%
 
1914608.9381< 0.1%
 
1895554.3091< 0.1%
 
1497137.0732< 0.1%
 
1321634.4291< 0.1%
 
1025240.2541< 0.1%
 
895926.67881< 0.1%
 
775943.61642< 0.1%
 
759499.52612< 0.1%
 
726810.09431< 0.1%
 

B_DIRA_OWNPV
Real number (ℝ≥0)

Distinct197988
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9999623919
Minimum0.9995000071
Maximum1
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:08.151116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.9995000071
5-th percentile0.9998234928
Q10.99996101
median0.9999893948
Q30.9999975448
95-th percentile0.9999997513
Maximum1
Range0.0004999928233
Interquartile range (IQR)3.653479092e-05

Descriptive statistics

Standard deviation6.831481065e-05
Coefficient of variation (CV)6.831737993e-05
Kurtosis12.7685023
Mean0.9999623919
Median Absolute Deviation (MAD)9.753561537e-06
Skewness-3.301355739
Sum212654.0022
Variance4.666913354e-09
MonotocityNot monotonic
2020-11-01T15:13:08.293628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.99998906742< 0.1%
 
0.99998623772< 0.1%
 
0.99999826972< 0.1%
 
0.99977654652< 0.1%
 
0.99998638892< 0.1%
 
0.99986108822< 0.1%
 
0.99988479632< 0.1%
 
0.99999362172< 0.1%
 
0.99999798452< 0.1%
 
0.99998762172< 0.1%
 
0.99969257222< 0.1%
 
0.99998953472< 0.1%
 
0.99999672232< 0.1%
 
0.99997410882< 0.1%
 
0.99999796082< 0.1%
 
0.99994980452< 0.1%
 
0.99996424752< 0.1%
 
0.99979060082< 0.1%
 
0.99998954242< 0.1%
 
0.99998796022< 0.1%
 
0.99999971152< 0.1%
 
0.99995495892< 0.1%
 
0.99994401022< 0.1%
 
0.99998772152< 0.1%
 
0.99983633282< 0.1%
 
Other values (197963)212612> 99.9%
 
ValueCountFrequency (%) 
0.99950000711< 0.1%
 
0.99950010261< 0.1%
 
0.99950019371< 0.1%
 
0.99950035621< 0.1%
 
0.99950039091< 0.1%
 
0.99950047231< 0.1%
 
0.99950053551< 0.1%
 
0.99950054621< 0.1%
 
0.99950059161< 0.1%
 
0.99950061511< 0.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
0.99999999991< 0.1%
 
0.99999999991< 0.1%
 
0.99999999991< 0.1%
 
0.99999999991< 0.1%
 
0.99999999992< 0.1%
 
0.99999999991< 0.1%
 
0.99999999981< 0.1%
 
0.99999999981< 0.1%
 
0.99999999981< 0.1%
 

B_PT
Real number (ℝ≥0)

Distinct197988
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9260.664335
Minimum2500.513932
Maximum56327.18696
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:08.498406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2500.513932
5-th percentile4525.391719
Q16527.503234
median8336.54893
Q311065.05062
95-th percentile17034.33752
Maximum56327.18696
Range53826.67303
Interquartile range (IQR)4537.54739

Descriptive statistics

Standard deviation3997.768903
Coefficient of variation (CV)0.4316935328
Kurtosis3.741692458
Mean9260.664335
Median Absolute Deviation (MAD)2125.638918
Skewness1.498448873
Sum1969391399
Variance15982156.2
MonotocityNot monotonic
2020-11-01T15:13:08.633292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8596.2652092< 0.1%
 
27344.928262< 0.1%
 
10559.621872< 0.1%
 
11294.886562< 0.1%
 
12113.41632< 0.1%
 
8112.0269672< 0.1%
 
6031.7241272< 0.1%
 
8448.9982632< 0.1%
 
7905.8879272< 0.1%
 
6817.1579472< 0.1%
 
8461.7141562< 0.1%
 
9395.4446072< 0.1%
 
10130.906722< 0.1%
 
7413.6263342< 0.1%
 
7937.5590392< 0.1%
 
12531.017092< 0.1%
 
10281.134952< 0.1%
 
8762.2746832< 0.1%
 
7407.6109142< 0.1%
 
7126.3113932< 0.1%
 
9113.3267852< 0.1%
 
9227.8703872< 0.1%
 
6188.8146682< 0.1%
 
8138.6284262< 0.1%
 
10304.04782< 0.1%
 
Other values (197963)212612> 99.9%
 
ValueCountFrequency (%) 
2500.5139321< 0.1%
 
2500.7578251< 0.1%
 
2500.95081< 0.1%
 
2501.0132421< 0.1%
 
2501.1854261< 0.1%
 
2501.8405021< 0.1%
 
2502.0488792< 0.1%
 
2502.6941681< 0.1%
 
2502.9671211< 0.1%
 
2503.2132461< 0.1%
 
ValueCountFrequency (%) 
56327.186961< 0.1%
 
49629.24881< 0.1%
 
45666.074051< 0.1%
 
44427.03641< 0.1%
 
43934.174041< 0.1%
 
43628.822582< 0.1%
 
42329.414021< 0.1%
 
41734.60111< 0.1%
 
41655.160811< 0.1%
 
41343.762231< 0.1%
 

Kst_892_0_IP_OWNPV
Real number (ℝ≥0)

HIGH CORRELATION

Distinct197941
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5734873472
Minimum0.2000046025
Maximum2.999445135
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:08.837086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.2000046025
5-th percentile0.2154740112
Q10.2898794278
median0.4299350066
Q30.7030817517
95-th percentile1.439045969
Maximum2.999445135
Range2.799440533
Interquartile range (IQR)0.4132023239

Descriptive statistics

Standard deviation0.4172558513
Coefficient of variation (CV)0.7275763856
Kurtosis5.620635887
Mean0.5734873472
Median Absolute Deviation (MAD)0.1693558722
Skewness2.13773602
Sum121958.9662
Variance0.1741024454
MonotocityNot monotonic
2020-11-01T15:13:08.962185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.20017587564< 0.1%
 
0.39247596474< 0.1%
 
0.23639140733< 0.1%
 
0.21567105473< 0.1%
 
0.79936619533< 0.1%
 
0.2110266793< 0.1%
 
0.20757233623< 0.1%
 
0.27240864973< 0.1%
 
0.63533754943< 0.1%
 
0.39480084823< 0.1%
 
0.23036918742< 0.1%
 
0.403078882< 0.1%
 
0.30122642592< 0.1%
 
0.25187460272< 0.1%
 
1.6296049712< 0.1%
 
1.3719944072< 0.1%
 
0.59443298852< 0.1%
 
0.56556392792< 0.1%
 
0.28019631642< 0.1%
 
0.3749887392< 0.1%
 
0.60397897072< 0.1%
 
0.38559649652< 0.1%
 
0.55832381662< 0.1%
 
0.73932049432< 0.1%
 
0.24866856222< 0.1%
 
Other values (197916)212600> 99.9%
 
ValueCountFrequency (%) 
0.20000460251< 0.1%
 
0.20000527091< 0.1%
 
0.20000595371< 0.1%
 
0.20000597731< 0.1%
 
0.20000600041< 0.1%
 
0.20000615111< 0.1%
 
0.20000697471< 0.1%
 
0.20000763581< 0.1%
 
0.20000931591< 0.1%
 
0.20001198741< 0.1%
 
ValueCountFrequency (%) 
2.9994451351< 0.1%
 
2.999013481< 0.1%
 
2.998901591< 0.1%
 
2.998828791< 0.1%
 
2.9988242061< 0.1%
 
2.9954576951< 0.1%
 
2.9951926371< 0.1%
 
2.994796981< 0.1%
 
2.9946195931< 0.1%
 
2.9937419351< 0.1%
 

Kst_892_0_cosThetaH
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2171846834
Minimum-0.7999913928
Maximum0.9999980146
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:09.174574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7999913928
5-th percentile-0.6021395497
Q1-0.1700481076
median0.2413359774
Q30.634683426
95-th percentile0.9368605412
Maximum0.9999980146
Range1.799989407
Interquartile range (IQR)0.8047315336

Descriptive statistics

Standard deviation0.4847785577
Coefficient of variation (CV)2.232102882
Kurtosis-1.049383446
Mean0.2171846834
Median Absolute Deviation (MAD)0.4017593707
Skewness-0.1797033947
Sum46186.92914
Variance0.23501025
MonotocityNot monotonic
2020-11-01T15:13:09.305199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
-0.46374725051< 0.1%
 
-0.11399027241< 0.1%
 
0.12063611911< 0.1%
 
0.17623915861< 0.1%
 
0.64875103611< 0.1%
 
-0.4999596581< 0.1%
 
0.23596843381< 0.1%
 
0.29660256751< 0.1%
 
-0.64605768441< 0.1%
 
0.92290285181< 0.1%
 
-0.41982718371< 0.1%
 
0.59432807391< 0.1%
 
-0.43231758111< 0.1%
 
0.3985545651< 0.1%
 
0.32024018141< 0.1%
 
0.12610772151< 0.1%
 
0.5208611251< 0.1%
 
-0.6098656041< 0.1%
 
-0.031337129631< 0.1%
 
0.6013286171< 0.1%
 
0.45322869761< 0.1%
 
0.62869999831< 0.1%
 
0.79606080891< 0.1%
 
-0.60457832911< 0.1%
 
-0.18586336431< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
-0.79999139281< 0.1%
 
-0.79997887761< 0.1%
 
-0.79994157171< 0.1%
 
-0.79992797441< 0.1%
 
-0.79990707191< 0.1%
 
-0.799901321< 0.1%
 
-0.79989878581< 0.1%
 
-0.79984804851< 0.1%
 
-0.79983678071< 0.1%
 
-0.79972538011< 0.1%
 
ValueCountFrequency (%) 
0.99999801461< 0.1%
 
0.99999734111< 0.1%
 
0.99999123191< 0.1%
 
0.99998517381< 0.1%
 
0.99997532241< 0.1%
 
0.99997487051< 0.1%
 
0.99996743321< 0.1%
 
0.99995884591< 0.1%
 
0.99995784011< 0.1%
 
0.9999495861< 0.1%
 

Kplus_IP_OWNPV
Real number (ℝ≥0)

HIGH CORRELATION

Distinct212498
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5816011094
Minimum0.06441169484
Maximum4.376841186
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:09.525299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.06441169484
5-th percentile0.1961609823
Q10.2921375681
median0.4362568313
Q30.7134622056
95-th percentile1.472705176
Maximum4.376841186
Range4.312429491
Interquartile range (IQR)0.4213246375

Descriptive statistics

Standard deviation0.4379385638
Coefficient of variation (CV)0.7529878412
Kurtosis6.883967707
Mean0.5816011094
Median Absolute Deviation (MAD)0.1748784348
Skewness2.262551188
Sum123684.4551
Variance0.1917901856
MonotocityNot monotonic
2020-11-01T15:13:09.653806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.78056064932< 0.1%
 
0.23164174892< 0.1%
 
0.89758108122< 0.1%
 
0.38181023462< 0.1%
 
1.203842592< 0.1%
 
0.27143107522< 0.1%
 
0.27792720092< 0.1%
 
0.3069315952< 0.1%
 
0.26781670032< 0.1%
 
0.51392841652< 0.1%
 
0.39367134792< 0.1%
 
0.63193624172< 0.1%
 
0.25116203742< 0.1%
 
0.22574423552< 0.1%
 
0.2587519712< 0.1%
 
0.30771905412< 0.1%
 
0.39392760812< 0.1%
 
0.62844341282< 0.1%
 
0.18416405182< 0.1%
 
0.64092230332< 0.1%
 
0.41882670012< 0.1%
 
0.45047571332< 0.1%
 
0.60013660632< 0.1%
 
0.36965558722< 0.1%
 
0.32376344242< 0.1%
 
Other values (212473)212612> 99.9%
 
ValueCountFrequency (%) 
0.064411694841< 0.1%
 
0.065572760981< 0.1%
 
0.072764309521< 0.1%
 
0.078497319341< 0.1%
 
0.078697381141< 0.1%
 
0.078940761191< 0.1%
 
0.079316163641< 0.1%
 
0.079376247811< 0.1%
 
0.079643147731< 0.1%
 
0.079665345331< 0.1%
 
ValueCountFrequency (%) 
4.3768411861< 0.1%
 
4.2964314041< 0.1%
 
4.2493127981< 0.1%
 
4.2100244171< 0.1%
 
4.1559676861< 0.1%
 
4.1404913461< 0.1%
 
4.1062110891< 0.1%
 
4.032919531< 0.1%
 
4.0305824061< 0.1%
 
4.014333641< 0.1%
 

Kplus_P
Real number (ℝ≥0)

HIGH CORRELATION

Distinct212498
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29740.46414
Minimum3791.22814
Maximum99995.10972
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:09.877204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3791.22814
5-th percentile8369.774217
Q115356.2981
median24379.33621
Q338994.13833
95-th percentile70545.67628
Maximum99995.10972
Range96203.88158
Interquartile range (IQR)23637.84023

Descriptive statistics

Standard deviation19239.0855
Coefficient of variation (CV)0.6468993024
Kurtosis1.192235222
Mean29740.46414
Median Absolute Deviation (MAD)10696.69012
Skewness1.238428029
Sum6324666585
Variance370142411.1
MonotocityNot monotonic
2020-11-01T15:13:10.013113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
67410.566152< 0.1%
 
12398.516952< 0.1%
 
9049.4355062< 0.1%
 
18977.502952< 0.1%
 
18769.476942< 0.1%
 
23365.616962< 0.1%
 
14142.304882< 0.1%
 
12797.076682< 0.1%
 
92178.598912< 0.1%
 
32952.05092< 0.1%
 
6084.7766392< 0.1%
 
21372.468862< 0.1%
 
27487.39392< 0.1%
 
22234.053412< 0.1%
 
47706.548592< 0.1%
 
26695.136652< 0.1%
 
34119.169752< 0.1%
 
46677.863352< 0.1%
 
23914.666862< 0.1%
 
69229.888162< 0.1%
 
31692.94772< 0.1%
 
11247.151892< 0.1%
 
28533.635312< 0.1%
 
30328.304012< 0.1%
 
11493.081512< 0.1%
 
Other values (212473)212612> 99.9%
 
ValueCountFrequency (%) 
3791.228141< 0.1%
 
4194.8149211< 0.1%
 
4303.5214761< 0.1%
 
4402.5979351< 0.1%
 
4493.36051< 0.1%
 
4949.4023971< 0.1%
 
4959.0549211< 0.1%
 
4960.8371021< 0.1%
 
4988.9619551< 0.1%
 
4989.0410661< 0.1%
 
ValueCountFrequency (%) 
99995.109721< 0.1%
 
99992.271251< 0.1%
 
99982.490571< 0.1%
 
99982.264951< 0.1%
 
99981.301381< 0.1%
 
99980.444661< 0.1%
 
99975.866781< 0.1%
 
99964.975771< 0.1%
 
99959.847081< 0.1%
 
99954.121131< 0.1%
 

piminus_IP_OWNPV
Real number (ℝ≥0)

HIGH CORRELATION

Distinct212514
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5951780217
Minimum0.05324427391
Maximum4.439293916
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:10.224797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.05324427391
5-th percentile0.1897886182
Q10.2949696561
median0.4445530929
Q30.7312492729
95-th percentile1.520619426
Maximum4.439293916
Range4.386049642
Interquartile range (IQR)0.4362796168

Descriptive statistics

Standard deviation0.4607422262
Coefficient of variation (CV)0.7741250675
Kurtosis7.700774941
Mean0.5951780217
Median Absolute Deviation (MAD)0.1822031509
Skewness2.352378445
Sum126571.7485
Variance0.212283399
MonotocityNot monotonic
2020-11-01T15:13:10.353066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.43034303072< 0.1%
 
0.33389114922< 0.1%
 
0.38409225772< 0.1%
 
0.26319064372< 0.1%
 
1.0029262< 0.1%
 
0.24757607042< 0.1%
 
0.40891164272< 0.1%
 
0.44911217452< 0.1%
 
0.55206869862< 0.1%
 
0.24017412832< 0.1%
 
0.37592884512< 0.1%
 
0.88293917272< 0.1%
 
0.84116726512< 0.1%
 
0.44254397732< 0.1%
 
0.54529502052< 0.1%
 
0.32228481782< 0.1%
 
0.35224457692< 0.1%
 
0.67035072962< 0.1%
 
0.18493357042< 0.1%
 
0.25900949242< 0.1%
 
0.39898929582< 0.1%
 
0.34391273992< 0.1%
 
0.82913243962< 0.1%
 
2.1701174672< 0.1%
 
0.16045260292< 0.1%
 
Other values (212489)212612> 99.9%
 
ValueCountFrequency (%) 
0.053244273911< 0.1%
 
0.064411694841< 0.1%
 
0.065572760981< 0.1%
 
0.066760192321< 0.1%
 
0.067799837341< 0.1%
 
0.06829419391< 0.1%
 
0.069323215221< 0.1%
 
0.070646979561< 0.1%
 
0.072246042711< 0.1%
 
0.073971297491< 0.1%
 
ValueCountFrequency (%) 
4.4392939161< 0.1%
 
4.4387070361< 0.1%
 
4.4172405721< 0.1%
 
4.4167697621< 0.1%
 
4.3927387871< 0.1%
 
4.3768411861< 0.1%
 
4.3727964641< 0.1%
 
4.358342961< 0.1%
 
4.3575515871< 0.1%
 
4.3313561281< 0.1%
 

piminus_P
Real number (ℝ≥0)

Distinct212514
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23615.39926
Minimum4952.118133
Maximum99982.93624
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:10.561025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4952.118133
5-th percentile6757.638421
Q111921.22306
median18693.42375
Q330209.32253
95-th percentile58123.13817
Maximum99982.93624
Range95030.81811
Interquartile range (IQR)18288.09947

Descriptive statistics

Standard deviation16424.50973
Coefficient of variation (CV)0.6954999807
Kurtosis2.802228821
Mean23615.39926
Median Absolute Deviation (MAD)8110.748186
Skewness1.606346893
Sum5022098038
Variance269764520
MonotocityNot monotonic
2020-11-01T15:13:10.692373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
29509.989032< 0.1%
 
22673.397232< 0.1%
 
35618.563042< 0.1%
 
10438.489772< 0.1%
 
13586.811822< 0.1%
 
12101.479792< 0.1%
 
20118.806452< 0.1%
 
24955.588212< 0.1%
 
9097.8323142< 0.1%
 
7742.9301922< 0.1%
 
25602.01122< 0.1%
 
75716.456692< 0.1%
 
20506.410972< 0.1%
 
29040.201012< 0.1%
 
13742.301952< 0.1%
 
29474.674512< 0.1%
 
22850.100442< 0.1%
 
23215.832592< 0.1%
 
36116.528612< 0.1%
 
6115.66922< 0.1%
 
15182.171852< 0.1%
 
15312.575022< 0.1%
 
59089.195322< 0.1%
 
10401.537582< 0.1%
 
9700.5466762< 0.1%
 
Other values (212489)212612> 99.9%
 
ValueCountFrequency (%) 
4952.1181331< 0.1%
 
4958.800461< 0.1%
 
4960.385161< 0.1%
 
4960.9666261< 0.1%
 
4964.8849291< 0.1%
 
4965.3652391< 0.1%
 
4978.589271< 0.1%
 
4980.1785111< 0.1%
 
4980.2950481< 0.1%
 
4984.2210771< 0.1%
 
ValueCountFrequency (%) 
99982.936241< 0.1%
 
99971.500911< 0.1%
 
99951.022861< 0.1%
 
99942.73011< 0.1%
 
99930.307821< 0.1%
 
99910.273271< 0.1%
 
99905.307061< 0.1%
 
99888.13951< 0.1%
 
99852.763271< 0.1%
 
99839.597421< 0.1%
 

gamma_PT
Real number (ℝ≥0)

Distinct197677
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5781.262866
Minimum3000.03184
Maximum52715.20147
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:10.894701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum3000.03184
5-th percentile3227.147574
Q13887.726863
median4986.055993
Q36770.025065
95-th percentile11234.14435
Maximum52715.20147
Range49715.16963
Interquartile range (IQR)2882.298202

Descriptive statistics

Standard deviation2669.985983
Coefficient of variation (CV)0.4618343854
Kurtosis7.591389603
Mean5781.262866
Median Absolute Deviation (MAD)1277.202214
Skewness2.084322608
Sum1229454924
Variance7128825.148
MonotocityNot monotonic
2020-11-01T15:13:11.026711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7333.8097544< 0.1%
 
4191.4543954< 0.1%
 
7135.9335754< 0.1%
 
4812.1408924< 0.1%
 
4865.0870244< 0.1%
 
4574.6513974< 0.1%
 
4654.0329893< 0.1%
 
17876.776323< 0.1%
 
7323.7958923< 0.1%
 
7396.7761643< 0.1%
 
6254.5583813< 0.1%
 
11928.814823< 0.1%
 
9472.2259373< 0.1%
 
21922.325453< 0.1%
 
8660.358933< 0.1%
 
8040.7333343< 0.1%
 
6704.1308073< 0.1%
 
9543.7930593< 0.1%
 
21509.594583< 0.1%
 
5128.1781923< 0.1%
 
3884.2066483< 0.1%
 
3824.970363< 0.1%
 
8932.1288313< 0.1%
 
6954.650223< 0.1%
 
3122.7802573< 0.1%
 
Other values (197652)212581> 99.9%
 
ValueCountFrequency (%) 
3000.031841< 0.1%
 
3000.0679721< 0.1%
 
3000.0849311< 0.1%
 
3000.1665481< 0.1%
 
3000.1813962< 0.1%
 
3000.1993311< 0.1%
 
3000.2519321< 0.1%
 
3000.3040622< 0.1%
 
3000.4153671< 0.1%
 
3000.4766141< 0.1%
 
ValueCountFrequency (%) 
52715.201471< 0.1%
 
46602.487451< 0.1%
 
39521.386541< 0.1%
 
39262.413431< 0.1%
 
37874.818011< 0.1%
 
37293.227921< 0.1%
 
37276.353661< 0.1%
 
36823.005581< 0.1%
 
36318.022091< 0.1%
 
35608.199651< 0.1%
 

piminus_ETA
Real number (ℝ≥0)

HIGH CORRELATION

Distinct212514
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.149949442
Minimum2.000000035
Maximum4.499750869
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:11.231395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.000000035
5-th percentile2.332600096
Q12.752650622
median3.128396974
Q33.526473141
95-th percentile4.049443555
Maximum4.499750869
Range2.499750834
Interquartile range (IQR)0.7738225191

Descriptive statistics

Standard deviation0.5208617887
Coefficient of variation (CV)0.1653556028
Kurtosis-0.6621829903
Mean3.149949442
Median Absolute Deviation (MAD)0.3861970134
Skewness0.1746236541
Sum669874.5482
Variance0.2712970029
MonotocityNot monotonic
2020-11-01T15:13:11.370408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3.3397116632< 0.1%
 
3.6965039242< 0.1%
 
3.7477198942< 0.1%
 
3.2621418012< 0.1%
 
3.4615927732< 0.1%
 
3.3690878162< 0.1%
 
2.3550137062< 0.1%
 
2.8692038832< 0.1%
 
2.8916172742< 0.1%
 
3.8195235512< 0.1%
 
2.7168557722< 0.1%
 
2.6535307072< 0.1%
 
4.2124310542< 0.1%
 
3.7828759532< 0.1%
 
2.7026482292< 0.1%
 
3.8851101892< 0.1%
 
4.0678775172< 0.1%
 
3.0868692242< 0.1%
 
2.8510135142< 0.1%
 
3.3348850822< 0.1%
 
3.7782736142< 0.1%
 
2.7499371682< 0.1%
 
3.5710079712< 0.1%
 
4.0996080472< 0.1%
 
3.0540060352< 0.1%
 
Other values (212489)212612> 99.9%
 
ValueCountFrequency (%) 
2.0000000351< 0.1%
 
2.000936821< 0.1%
 
2.0016214291< 0.1%
 
2.0016594341< 0.1%
 
2.0019547791< 0.1%
 
2.0023956621< 0.1%
 
2.0025323581< 0.1%
 
2.0029064881< 0.1%
 
2.0031253811< 0.1%
 
2.003208361< 0.1%
 
ValueCountFrequency (%) 
4.4997508691< 0.1%
 
4.4991069851< 0.1%
 
4.4988363381< 0.1%
 
4.4986747671< 0.1%
 
4.4984226671< 0.1%
 
4.4983432971< 0.1%
 
4.4983430831< 0.1%
 
4.498312431< 0.1%
 
4.4982265261< 0.1%
 
4.498036261< 0.1%
 

Kplus_ETA
Real number (ℝ≥0)

HIGH CORRELATION

Distinct212498
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.166745413
Minimum2.000226611
Maximum4.49996626
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:11.581620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.000226611
5-th percentile2.339219708
Q12.760778882
median3.151240278
Q33.551590448
95-th percentile4.067931817
Maximum4.49996626
Range2.499739649
Interquartile range (IQR)0.7908115658

Descriptive statistics

Standard deviation0.5271346025
Coefficient of variation (CV)0.1664594193
Kurtosis-0.7045621251
Mean3.166745413
Median Absolute Deviation (MAD)0.394872258
Skewness0.1519556601
Sum673446.413
Variance0.2778708891
MonotocityNot monotonic
2020-11-01T15:13:11.723050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.3057598532< 0.1%
 
3.4452113772< 0.1%
 
2.6520570882< 0.1%
 
3.7929179742< 0.1%
 
3.6838427272< 0.1%
 
2.6245886542< 0.1%
 
3.7693450462< 0.1%
 
3.7054068472< 0.1%
 
3.0583197782< 0.1%
 
2.9264362662< 0.1%
 
2.9154015682< 0.1%
 
3.5449426862< 0.1%
 
2.506717472< 0.1%
 
3.9848686292< 0.1%
 
3.6519236522< 0.1%
 
3.7035080782< 0.1%
 
3.6437864182< 0.1%
 
4.1755909042< 0.1%
 
3.2171522012< 0.1%
 
2.9534997832< 0.1%
 
3.4110328022< 0.1%
 
2.6792600042< 0.1%
 
4.0353764022< 0.1%
 
3.1481323872< 0.1%
 
3.016377032< 0.1%
 
Other values (212473)212612> 99.9%
 
ValueCountFrequency (%) 
2.0002266111< 0.1%
 
2.0002769451< 0.1%
 
2.0003696181< 0.1%
 
2.0006087921< 0.1%
 
2.0019547791< 0.1%
 
2.0030692291< 0.1%
 
2.0033852271< 0.1%
 
2.0037259211< 0.1%
 
2.0038502841< 0.1%
 
2.0041192921< 0.1%
 
ValueCountFrequency (%) 
4.499966261< 0.1%
 
4.4995407681< 0.1%
 
4.4992971< 0.1%
 
4.4989812731< 0.1%
 
4.4988566131< 0.1%
 
4.4986838361< 0.1%
 
4.4985386551< 0.1%
 
4.4984731721< 0.1%
 
4.498312431< 0.1%
 
4.4982326581< 0.1%
 

signal
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size3.2 MiB
0
141632 
1
71030 
ValueCountFrequency (%) 
014163266.6%
 
17103033.4%
 
2020-11-01T15:13:11.814080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

random
Real number (ℝ≥0)

UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5004156173
Minimum2.769625021e-06
Maximum0.9999958071
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:11.978078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2.769625021e-06
5-th percentile0.05026493567
Q10.2505699762
median0.4999017421
Q30.7508456598
95-th percentile0.9493779018
Maximum0.9999958071
Range0.9999930375
Interquartile range (IQR)0.5002756837

Descriptive statistics

Standard deviation0.288559905
Coefficient of variation (CV)0.5766404865
Kurtosis-1.20204218
Mean0.5004156173
Median Absolute Deviation (MAD)0.2501208202
Skewness-0.000388138928
Sum106419.386
Variance0.08326681876
MonotocityNot monotonic
2020-11-01T15:13:12.111256image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.53801916211< 0.1%
 
0.69748798511< 0.1%
 
0.66585244861< 0.1%
 
0.49851255961< 0.1%
 
0.35120653441< 0.1%
 
0.028019604931< 0.1%
 
0.60432153571< 0.1%
 
0.012523460861< 0.1%
 
0.25904580651< 0.1%
 
0.65151873541< 0.1%
 
0.49869502211< 0.1%
 
0.28963313631< 0.1%
 
0.12091336051< 0.1%
 
0.33464405661< 0.1%
 
0.91722769811< 0.1%
 
0.42012578991< 0.1%
 
0.84543484491< 0.1%
 
0.29786704471< 0.1%
 
0.45246887321< 0.1%
 
0.81248383951< 0.1%
 
0.53727134591< 0.1%
 
0.14887693851< 0.1%
 
0.3362030871< 0.1%
 
0.19179797611< 0.1%
 
0.93706031231< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
2.769625021e-061< 0.1%
 
6.945610885e-061< 0.1%
 
1.151237623e-051< 0.1%
 
1.944105765e-051< 0.1%
 
2.695098107e-051< 0.1%
 
2.862284119e-051< 0.1%
 
3.467566368e-051< 0.1%
 
4.567234207e-051< 0.1%
 
4.624273186e-051< 0.1%
 
4.643590667e-051< 0.1%
 
ValueCountFrequency (%) 
0.99999580711< 0.1%
 
0.9999937991< 0.1%
 
0.99998865141< 0.1%
 
0.99998127461< 0.1%
 
0.99997034661< 0.1%
 
0.99996302841< 0.1%
 
0.99995339121< 0.1%
 
0.99995110461< 0.1%
 
0.99994697571< 0.1%
 
0.9999464571< 0.1%
 

total_mom_2
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1396929655
Minimum44119545.64
Maximum1.146841055e+10
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:12.316725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum44119545.64
5-th percentile149768267.2
Q1353473526.7
median738177303.5
Q31689331164
95-th percentile5183333554
Maximum1.146841055e+10
Range1.1424291e+10
Interquartile range (IQR)1335857637

Descriptive statistics

Standard deviation1704245919
Coefficient of variation (CV)1.219994087
Kurtosis6.327883986
Mean1396929655
Median Absolute Deviation (MAD)480245846
Skewness2.404994665
Sum2.970738542e+14
Variance2.904454153e+18
MonotocityNot monotonic
2020-11-01T15:13:12.458337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
59338423401< 0.1%
 
44898455991< 0.1%
 
28829534061< 0.1%
 
48545800961< 0.1%
 
234212892.11< 0.1%
 
538040497.61< 0.1%
 
425656317.91< 0.1%
 
330793466.21< 0.1%
 
70856856551< 0.1%
 
92956909.521< 0.1%
 
19388347761< 0.1%
 
49283788931< 0.1%
 
699257035.61< 0.1%
 
243039167.11< 0.1%
 
60902226171< 0.1%
 
680686705.51< 0.1%
 
32265499661< 0.1%
 
273429939.31< 0.1%
 
317424596.71< 0.1%
 
280306035.71< 0.1%
 
6778501341< 0.1%
 
366129622.11< 0.1%
 
11232036861< 0.1%
 
11448206921< 0.1%
 
289831131.61< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
44119545.641< 0.1%
 
46115328.491< 0.1%
 
46759769.271< 0.1%
 
47342667.631< 0.1%
 
47729042.771< 0.1%
 
48148111.851< 0.1%
 
48268609.051< 0.1%
 
48729151.121< 0.1%
 
48902734.111< 0.1%
 
49265842.431< 0.1%
 
ValueCountFrequency (%) 
1.146841055e+101< 0.1%
 
1.109582647e+101< 0.1%
 
1.105546978e+101< 0.1%
 
1.093570725e+101< 0.1%
 
1.087744687e+101< 0.1%
 
1.086161074e+101< 0.1%
 
1.082147176e+101< 0.1%
 
1.080671377e+101< 0.1%
 
1.079282347e+101< 0.1%
 
1.074630623e+101< 0.1%
 

total_mom_sum
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44782.39134
Minimum11133.42421
Maximum153195.1755
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:12.671142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum11133.42421
5-th percentile19922.77125
Q128933.88264
median39483.6339
Q355437.35012
95-th percentile88894.35755
Maximum153195.1755
Range142061.7513
Interquartile range (IQR)26503.46748

Descriptive statistics

Standard deviation21307.99621
Coefficient of variation (CV)0.4758119334
Kurtosis1.129564312
Mean44782.39134
Median Absolute Deviation (MAD)12303.15798
Skewness1.159820066
Sum9523512907
Variance454030702.3
MonotocityNot monotonic
2020-11-01T15:13:12.801810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51861.950391< 0.1%
 
20983.258311< 0.1%
 
23909.880761< 0.1%
 
38586.092791< 0.1%
 
13416.015831< 0.1%
 
17030.12591< 0.1%
 
50907.713711< 0.1%
 
35682.248081< 0.1%
 
19935.011461< 0.1%
 
69942.741351< 0.1%
 
55643.35121< 0.1%
 
25962.040571< 0.1%
 
27415.39271< 0.1%
 
74737.488381< 0.1%
 
32794.103231< 0.1%
 
22645.910111< 0.1%
 
35932.760341< 0.1%
 
46595.280221< 0.1%
 
20052.375261< 0.1%
 
27700.471631< 0.1%
 
74278.154571< 0.1%
 
35357.573031< 0.1%
 
41834.610421< 0.1%
 
22013.712191< 0.1%
 
24694.417741< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
11133.424211< 0.1%
 
11349.267051< 0.1%
 
11394.522121< 0.1%
 
11468.191531< 0.1%
 
11577.028021< 0.1%
 
11648.53171< 0.1%
 
11692.424241< 0.1%
 
11713.714761< 0.1%
 
11744.349831< 0.1%
 
11781.915771< 0.1%
 
ValueCountFrequency (%) 
153195.17551< 0.1%
 
150418.07661< 0.1%
 
150153.42541< 0.1%
 
148810.77681< 0.1%
 
148720.6361< 0.1%
 
148485.17811< 0.1%
 
147106.73891< 0.1%
 
146282.72011< 0.1%
 
145729.55051< 0.1%
 
145707.79211< 0.1%
 

mom_rat_1
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4348205919
Minimum0.03098020556
Maximum6.822138527
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:13.017121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.03098020556
5-th percentile0.1179430482
Q10.2195521345
median0.3502095534
Q30.5557162484
95-th percentile1.035902204
Maximum6.822138527
Range6.791158321
Interquartile range (IQR)0.336164114

Descriptive statistics

Standard deviation0.3126378404
Coefficient of variation (CV)0.7190042196
Kurtosis8.541809657
Mean0.4348205919
Median Absolute Deviation (MAD)0.1533121303
Skewness2.147986119
Sum92469.81672
Variance0.09774241922
MonotocityNot monotonic
2020-11-01T15:13:13.146471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.1047485941< 0.1%
 
0.32770422561< 0.1%
 
0.32084860821< 0.1%
 
0.50416496841< 0.1%
 
0.64371511541< 0.1%
 
0.2757151171< 0.1%
 
0.25138541251< 0.1%
 
0.55746631981< 0.1%
 
0.24352580151< 0.1%
 
0.12077150131< 0.1%
 
0.16781717221< 0.1%
 
0.09755464851< 0.1%
 
0.24234143551< 0.1%
 
0.65929643151< 0.1%
 
0.32286984411< 0.1%
 
0.1691653481< 0.1%
 
1.2437060681< 0.1%
 
0.27595519091< 0.1%
 
0.59467325751< 0.1%
 
0.33275229051< 0.1%
 
0.18873095441< 0.1%
 
0.66355437941< 0.1%
 
0.51383736031< 0.1%
 
0.35275193891< 0.1%
 
0.12884787091< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
0.030980205561< 0.1%
 
0.031622505731< 0.1%
 
0.032480998751< 0.1%
 
0.033275893921< 0.1%
 
0.033768828381< 0.1%
 
0.034099181281< 0.1%
 
0.036223133551< 0.1%
 
0.037825182791< 0.1%
 
0.038193185121< 0.1%
 
0.038361224141< 0.1%
 
ValueCountFrequency (%) 
6.8221385271< 0.1%
 
5.0847081281< 0.1%
 
4.3000972131< 0.1%
 
4.1088904541< 0.1%
 
3.8656002521< 0.1%
 
3.8647757081< 0.1%
 
3.8468255591< 0.1%
 
3.8077190011< 0.1%
 
3.8030539511< 0.1%
 
3.7457385771< 0.1%
 

mom_rat_2
Real number (ℝ≥0)

Distinct197988
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.671238664
Minimum0.5610845401
Maximum11.62919834
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:13.352382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.5610845401
5-th percentile1.130914849
Q11.317348487
median1.53303622
Q31.862300575
95-th percentile2.704188029
Maximum11.62919834
Range11.0681138
Interquartile range (IQR)0.5449520881

Descriptive statistics

Standard deviation0.5447176203
Coefficient of variation (CV)0.3259364637
Kurtosis9.574820615
Mean1.671238664
Median Absolute Deviation (MAD)0.2514526181
Skewness2.271839189
Sum355408.9568
Variance0.2967172859
MonotocityNot monotonic
2020-11-01T15:13:13.477228image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.3718763362< 0.1%
 
2.1981013192< 0.1%
 
1.2503803652< 0.1%
 
1.3128401282< 0.1%
 
1.3149185592< 0.1%
 
1.5821497212< 0.1%
 
1.1079916592< 0.1%
 
1.1640766832< 0.1%
 
1.4410450262< 0.1%
 
1.759876912< 0.1%
 
1.4154963642< 0.1%
 
1.3309519962< 0.1%
 
1.4512053362< 0.1%
 
1.5886473832< 0.1%
 
1.4707184822< 0.1%
 
1.6486268182< 0.1%
 
1.4458030392< 0.1%
 
1.8062167912< 0.1%
 
1.3970339792< 0.1%
 
1.286366182< 0.1%
 
1.4704856352< 0.1%
 
1.8684695232< 0.1%
 
1.2493146162< 0.1%
 
1.366353512< 0.1%
 
1.7104429952< 0.1%
 
Other values (197963)212612> 99.9%
 
ValueCountFrequency (%) 
0.56108454012< 0.1%
 
0.56704499341< 0.1%
 
0.57133617831< 0.1%
 
0.57154339812< 0.1%
 
0.57170748782< 0.1%
 
0.57311515261< 0.1%
 
0.57433366641< 0.1%
 
0.5749253971< 0.1%
 
0.57636085951< 0.1%
 
0.57729296221< 0.1%
 
ValueCountFrequency (%) 
11.629198341< 0.1%
 
8.9804958371< 0.1%
 
8.4911391321< 0.1%
 
8.3924019321< 0.1%
 
8.1060955581< 0.1%
 
8.0416311351< 0.1%
 
7.7077567081< 0.1%
 
7.5503962561< 0.1%
 
7.5105996231< 0.1%
 
7.5020690531< 0.1%
 

mom_rat_3
Real number (ℝ≥0)

Distinct197988
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6472571407
Minimum0.08599045015
Maximum1.782262616
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:13.675354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.08599045015
5-th percentile0.369796771
Q10.5369702472
median0.6523003091
Q30.7591005797
95-th percentile0.8842398706
Maximum1.782262616
Range1.696272166
Interquartile range (IQR)0.2221303325

Descriptive statistics

Standard deviation0.1672958938
Coefficient of variation (CV)0.2584689813
Kurtosis1.589212736
Mean0.6472571407
Median Absolute Deviation (MAD)0.1106388938
Skewness0.3139069737
Sum137646.9981
Variance0.02798791608
MonotocityNot monotonic
2020-11-01T15:13:13.806593image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.0149706712< 0.1%
 
0.58672690382< 0.1%
 
0.39005857842< 0.1%
 
0.71207005912< 0.1%
 
0.66239492722< 0.1%
 
0.36164861152< 0.1%
 
0.75046502962< 0.1%
 
0.73138484272< 0.1%
 
0.55085185832< 0.1%
 
0.74277794452< 0.1%
 
0.73337059332< 0.1%
 
0.92846805432< 0.1%
 
0.4820751022< 0.1%
 
0.62703076582< 0.1%
 
0.70462797012< 0.1%
 
0.72875686322< 0.1%
 
0.83076348842< 0.1%
 
1.4093853452< 0.1%
 
0.43968268462< 0.1%
 
0.63394628852< 0.1%
 
0.78364900992< 0.1%
 
0.39316195482< 0.1%
 
0.7596648392< 0.1%
 
0.62128626052< 0.1%
 
0.43865014442< 0.1%
 
Other values (197963)212612> 99.9%
 
ValueCountFrequency (%) 
0.085990450151< 0.1%
 
0.11135242621< 0.1%
 
0.11776982861< 0.1%
 
0.11915539891< 0.1%
 
0.12336395411< 0.1%
 
0.1243528811< 0.1%
 
0.12973943491< 0.1%
 
0.13244337991< 0.1%
 
0.13314516151< 0.1%
 
0.13329656031< 0.1%
 
ValueCountFrequency (%) 
1.7822626162< 0.1%
 
1.7635284881< 0.1%
 
1.7502831< 0.1%
 
1.7496484142< 0.1%
 
1.7491462352< 0.1%
 
1.7448500451< 0.1%
 
1.7411481491< 0.1%
 
1.7393561071< 0.1%
 
1.7350241321< 0.1%
 
1.7322227461< 0.1%
 

mom_rat_4
Real number (ℝ≥0)

HIGH CORRELATION

Distinct212547
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2895035517
Minimum0.03039849364
Maximum6.311842722
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:14.051825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.03039849364
5-th percentile0.06464918097
Q10.1280130081
median0.2157953409
Q30.3666868296
95-th percentile0.7611543997
Maximum6.311842722
Range6.281444229
Interquartile range (IQR)0.2386738214

Descriptive statistics

Standard deviation0.2474261174
Coefficient of variation (CV)0.8546565869
Kurtosis13.93736017
Mean0.2895035517
Median Absolute Deviation (MAD)0.1048648506
Skewness2.710227044
Sum61566.40431
Variance0.06121968356
MonotocityNot monotonic
2020-11-01T15:13:14.194570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.079306615612< 0.1%
 
0.31338000692< 0.1%
 
0.31035831432< 0.1%
 
0.076407260252< 0.1%
 
0.22773009562< 0.1%
 
1.4283578632< 0.1%
 
0.14478299562< 0.1%
 
0.25512486482< 0.1%
 
0.077140213092< 0.1%
 
0.35789671932< 0.1%
 
0.043065625432< 0.1%
 
0.10615966512< 0.1%
 
0.22947293942< 0.1%
 
0.14766731322< 0.1%
 
0.17134331062< 0.1%
 
0.086535737782< 0.1%
 
0.10924262072< 0.1%
 
0.10352637652< 0.1%
 
0.060327488252< 0.1%
 
0.25063704422< 0.1%
 
0.11594215582< 0.1%
 
0.42102672342< 0.1%
 
0.13281075022< 0.1%
 
0.47455665662< 0.1%
 
0.74423883262< 0.1%
 
Other values (212522)212612> 99.9%
 
ValueCountFrequency (%) 
0.030398493641< 0.1%
 
0.030411072141< 0.1%
 
0.030655259491< 0.1%
 
0.03076600531< 0.1%
 
0.03088399181< 0.1%
 
0.03097858171< 0.1%
 
0.031104628711< 0.1%
 
0.031185197491< 0.1%
 
0.031234945351< 0.1%
 
0.031375349661< 0.1%
 
ValueCountFrequency (%) 
6.3118427221< 0.1%
 
4.5215437681< 0.1%
 
4.0243531261< 0.1%
 
3.7375612961< 0.1%
 
3.6025034721< 0.1%
 
3.4376618561< 0.1%
 
3.4164605641< 0.1%
 
3.3752435011< 0.1%
 
3.3710395311< 0.1%
 
3.3051527931< 0.1%
 

mom_rat_5
Real number (ℝ≥0)

UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.544240542
Minimum0.1465816028
Maximum32.27867543
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:14.404004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1465816028
5-th percentile0.9653420917
Q11.799479506
median2.855433241
Q34.554726842
95-th percentile8.478668435
Maximum32.27867543
Range32.13209382
Interquartile range (IQR)2.755247336

Descriptive statistics

Standard deviation2.491187189
Coefficient of variation (CV)0.7028832156
Kurtosis5.527088617
Mean3.544240542
Median Absolute Deviation (MAD)1.24730684
Skewness1.870201715
Sum753725.2822
Variance6.20601361
MonotocityNot monotonic
2020-11-01T15:13:14.530652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.0854820281< 0.1%
 
2.8929381011< 0.1%
 
1.3119339741< 0.1%
 
4.5355182411< 0.1%
 
1.2495856581< 0.1%
 
2.3338243051< 0.1%
 
1.8825744871< 0.1%
 
11.661959361< 0.1%
 
2.1425716151< 0.1%
 
8.7788125091< 0.1%
 
4.6094300481< 0.1%
 
2.12185011< 0.1%
 
4.9276325131< 0.1%
 
2.3640330781< 0.1%
 
4.8873539871< 0.1%
 
2.0095369021< 0.1%
 
2.3103363761< 0.1%
 
0.93077854561< 0.1%
 
3.1722505111< 0.1%
 
4.3673625341< 0.1%
 
1.6297385341< 0.1%
 
10.63762181< 0.1%
 
10.206677371< 0.1%
 
4.2387217631< 0.1%
 
2.1024013261< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
0.14658160281< 0.1%
 
0.19666812231< 0.1%
 
0.23255288211< 0.1%
 
0.24337470451< 0.1%
 
0.25869203611< 0.1%
 
0.25874722771< 0.1%
 
0.25995460011< 0.1%
 
0.26262442151< 0.1%
 
0.26294657211< 0.1%
 
0.26697004591< 0.1%
 
ValueCountFrequency (%) 
32.278675431< 0.1%
 
31.623047481< 0.1%
 
30.787230641< 0.1%
 
30.051784711< 0.1%
 
29.613109131< 0.1%
 
29.32621731< 0.1%
 
27.60666741< 0.1%
 
26.437413551< 0.1%
 
26.182681461< 0.1%
 
26.067989811< 0.1%
 

mom_rat_6
Real number (ℝ≥0)

Distinct212547
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.976343083
Minimum0.1584323381
Maximum32.8963669
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:14.743877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.1584323381
5-th percentile1.313793891
Q12.727122764
median4.634020345
Q37.811706127
95-th percentile15.46810006
Maximum32.8963669
Range32.73793457
Interquartile range (IQR)5.084583364

Descriptive statistics

Standard deviation4.566682694
Coefficient of variation (CV)0.7641265956
Kurtosis3.304226826
Mean5.976343083
Median Absolute Deviation (MAD)2.272428652
Skewness1.664465695
Sum1270941.073
Variance20.85459083
MonotocityNot monotonic
2020-11-01T15:13:14.873554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2.1387027112< 0.1%
 
4.6919549742< 0.1%
 
6.2539248572< 0.1%
 
11.391337222< 0.1%
 
9.4197734992< 0.1%
 
5.1650590662< 0.1%
 
9.6593741052< 0.1%
 
1.3436546932< 0.1%
 
1.7057472462< 0.1%
 
3.2220821992< 0.1%
 
0.70010466272< 0.1%
 
16.276864412< 0.1%
 
2.1072299512< 0.1%
 
11.664247222< 0.1%
 
5.8362360142< 0.1%
 
11.897595872< 0.1%
 
1.9872771752< 0.1%
 
2.2680429682< 0.1%
 
8.4816059962< 0.1%
 
3.919649312< 0.1%
 
7.6405828512< 0.1%
 
8.4091759742< 0.1%
 
6.7959590012< 0.1%
 
3.1170589692< 0.1%
 
5.1498769822< 0.1%
 
Other values (212522)212612> 99.9%
 
ValueCountFrequency (%) 
0.15843233811< 0.1%
 
0.22116340151< 0.1%
 
0.24848714031< 0.1%
 
0.26755414041< 0.1%
 
0.27758474291< 0.1%
 
0.2908953941< 0.1%
 
0.29270058331< 0.1%
 
0.29627492051< 0.1%
 
0.29664440031< 0.1%
 
0.30255787331< 0.1%
 
ValueCountFrequency (%) 
32.89636691< 0.1%
 
32.882760441< 0.1%
 
32.620829721< 0.1%
 
32.503407251< 0.1%
 
32.379234081< 0.1%
 
32.280367441< 0.1%
 
32.149555921< 0.1%
 
32.066495661< 0.1%
 
32.015423391< 0.1%
 
31.872154761< 0.1%
 

ThetaH
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.309561431
Minimum0.001992709649
Maximum2.4980772
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:15.087175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0.001992709649
5-th percentile0.3572542794
Q10.8831975359
median1.327054041
Q31.741674814
95-th percentile2.216974564
Maximum2.4980772
Range2.49608449
Interquartile range (IQR)0.8584772784

Descriptive statistics

Standard deviation0.5648625394
Coefficient of variation (CV)0.4313371837
Kurtosis-0.7962372496
Mean1.309561431
Median Absolute Deviation (MAD)0.4287053768
Skewness-0.0832967272
Sum278493.953
Variance0.3190696884
MonotocityNot monotonic
2020-11-01T15:13:15.241987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1.0573882571< 0.1%
 
1.0896658381< 0.1%
 
1.0977830041< 0.1%
 
1.4758830481< 0.1%
 
1.4240703171< 0.1%
 
2.3205368991< 0.1%
 
2.2108235091< 0.1%
 
1.8947333071< 0.1%
 
1.37098491< 0.1%
 
1.9932162141< 0.1%
 
1.3510245321< 0.1%
 
2.1869860431< 0.1%
 
0.88800583391< 0.1%
 
1.1371238131< 0.1%
 
1.3128946671< 0.1%
 
1.3423797181< 0.1%
 
1.5539408471< 0.1%
 
1.3313227161< 0.1%
 
1.3291227341< 0.1%
 
1.6596332471< 0.1%
 
0.25844151671< 0.1%
 
1.9279504921< 0.1%
 
0.91166439121< 0.1%
 
1.2708605291< 0.1%
 
0.89679784361< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
0.0019927096491< 0.1%
 
0.0023060490151< 0.1%
 
0.0041876280181< 0.1%
 
0.005445412321< 0.1%
 
0.0070253421951< 0.1%
 
0.0070893760861< 0.1%
 
0.0080705644021< 0.1%
 
0.0090724193941< 0.1%
 
0.0091826151841< 0.1%
 
0.010041360531< 0.1%
 
ValueCountFrequency (%) 
2.49807721< 0.1%
 
2.4980563421< 0.1%
 
2.4979941711< 0.1%
 
2.4979715121< 0.1%
 
2.4979366811< 0.1%
 
2.4979270961< 0.1%
 
2.4979228731< 0.1%
 
2.4978383351< 0.1%
 
2.4978195621< 0.1%
 
2.4976339851< 0.1%
 

Kplus_P_x
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25401.95904
Minimum28.83854094
Maximum99924.29471
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:15.454194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum28.83854094
5-th percentile4349.775443
Q111471.987
median20347.31759
Q334465.41359
95-th percentile64397.24282
Maximum99924.29471
Range99895.45617
Interquartile range (IQR)22993.42659

Descriptive statistics

Standard deviation18691.2249
Coefficient of variation (CV)0.7358182442
Kurtosis1.280824656
Mean25401.95904
Median Absolute Deviation (MAD)10482.86573
Skewness1.235967184
Sum5402031413
Variance349361888.2
MonotocityNot monotonic
2020-11-01T15:13:15.587773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
19584.923341< 0.1%
 
5021.8165471< 0.1%
 
36691.009271< 0.1%
 
20702.605351< 0.1%
 
24006.195781< 0.1%
 
33070.542141< 0.1%
 
10379.91681< 0.1%
 
4299.6495891< 0.1%
 
12145.797711< 0.1%
 
23368.838221< 0.1%
 
27050.72691< 0.1%
 
19473.384061< 0.1%
 
3434.2067451< 0.1%
 
27816.482941< 0.1%
 
19686.637561< 0.1%
 
14606.212691< 0.1%
 
11298.122071< 0.1%
 
17468.298131< 0.1%
 
34564.583921< 0.1%
 
12715.568371< 0.1%
 
6669.297511< 0.1%
 
23544.45451< 0.1%
 
58566.492641< 0.1%
 
23763.89391< 0.1%
 
18827.357851< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
28.838540941< 0.1%
 
57.285511831< 0.1%
 
91.154563291< 0.1%
 
93.16670271< 0.1%
 
95.037937941< 0.1%
 
114.45227761< 0.1%
 
117.24640021< 0.1%
 
120.56228011< 0.1%
 
129.61705841< 0.1%
 
132.53175431< 0.1%
 
ValueCountFrequency (%) 
99924.294711< 0.1%
 
99841.931251< 0.1%
 
99731.156921< 0.1%
 
99717.677121< 0.1%
 
99599.859261< 0.1%
 
99575.386051< 0.1%
 
99559.85741< 0.1%
 
99553.725011< 0.1%
 
99424.479181< 0.1%
 
99415.838481< 0.1%
 

Kplus_P_y
Real number (ℝ)

UNIQUE

Distinct212662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3231.12713
Minimum-78001.52998
Maximum77892.74426
Zeros0
Zeros (%)0.0%
Memory size3.2 MiB
2020-11-01T15:13:15.793679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum-78001.52998
5-th percentile-24992.25307
Q1-4487.166348
median4768.070756
Q311860.20118
95-th percentile27223.45319
Maximum77892.74426
Range155894.2742
Interquartile range (IQR)16347.36753

Descriptive statistics

Standard deviation15798.00938
Coefficient of variation (CV)4.889318417
Kurtosis1.988799988
Mean3231.12713
Median Absolute Deviation (MAD)8058.229452
Skewness-0.5515411832
Sum687137957.6
Variance249577100.4
MonotocityNot monotonic
2020-11-01T15:13:15.920185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
25533.016431< 0.1%
 
-21629.558191< 0.1%
 
-6529.9621911< 0.1%
 
-18533.991031< 0.1%
 
-20740.620661< 0.1%
 
-25751.486091< 0.1%
 
-6603.8947641< 0.1%
 
1151.0433961< 0.1%
 
12313.424461< 0.1%
 
8239.4203131< 0.1%
 
4952.9443351< 0.1%
 
14631.580121< 0.1%
 
11512.318271< 0.1%
 
-2368.2002551< 0.1%
 
202.60834991< 0.1%
 
5906.7079051< 0.1%
 
29475.70341< 0.1%
 
10106.477961< 0.1%
 
-1362.1129161< 0.1%
 
37237.938041< 0.1%
 
31785.828011< 0.1%
 
5550.6811811< 0.1%
 
-10228.257691< 0.1%
 
13601.29121< 0.1%
 
13666.222821< 0.1%
 
Other values (212637)212637> 99.9%
 
ValueCountFrequency (%) 
-78001.529981< 0.1%
 
-77692.517741< 0.1%
 
-77687.516051< 0.1%
 
-77593.203251< 0.1%
 
-77280.953121< 0.1%
 
-77259.150681< 0.1%
 
-76948.796391< 0.1%
 
-76483.704871< 0.1%
 
-76441.06491< 0.1%
 
-76177.795141< 0.1%
 
ValueCountFrequency (%) 
77892.744261< 0.1%
 
76526.306211< 0.1%
 
76099.294511< 0.1%
 
73268.072861< 0.1%
 
72255.747051< 0.1%
 
71446.819111< 0.1%
 
70974.312791< 0.1%
 
70559.571091< 0.1%
 
70120.963381< 0.1%
 
69200.46511< 0.1%
 

Interactions

2020-11-01T15:11:08.759399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:08.937024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:09.109873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:09.274641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:09.441071image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:09.609352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:09.774769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:09.941454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:10.104681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:10.252442image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:10.400060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:10.555226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:10.716848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:10.879824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:11.029369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:11.180776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:11.334898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:11.507719image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:11.663740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:11.814710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:11.985017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:12.143369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:12.337651image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:12.496106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:12.655693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:12.809430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:12.976523image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:13.484925image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:13.643342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:13.814994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:13.979330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:14.139414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:14.302038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:14.472331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:14.627590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:14.793711image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:14.962450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:15.148463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:15.330168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:15.507052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:15.666104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:15.831670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:16.015338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:16.184394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:16.395759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:16.602185image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:16.801652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:16.961348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:17.132802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:17.313862image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:17.515004image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:17.813592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:17.990865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:18.157467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:18.332005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:18.505926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:18.694830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:18.924491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:19.090794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:19.266909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:19.427865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:19.724478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:19.906540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:20.071275image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:20.235666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:20.404250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:20.568056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:20.735789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:20.910680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:21.103407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:21.274188image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:21.442488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:21.614458image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:21.791283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:21.984289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:22.224836image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:22.524886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:22.842234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:23.115899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:23.281866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:23.553778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:23.769920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:23.967373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:24.122397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:24.283359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:24.463445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:24.668331image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:24.841115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:25.006027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:25.154457image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:25.305878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:25.464146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:25.619680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:11:25.777807image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
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2020-11-01T15:12:34.099465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:34.254020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:34.406706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:34.557380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:34.714640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:34.865385image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:35.022479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:35.194899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:35.354828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:35.503302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:35.655768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:35.810680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:35.964409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:36.116503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:36.266411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:36.435426image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:36.595435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:36.745292image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:36.900016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:37.058384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:37.211020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:37.376790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:37.524042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:37.684682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:37.832438image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:37.991861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:38.138654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:38.284502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:38.870907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:39.022606image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:39.170050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:39.320065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:39.478404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:39.633700image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:39.789054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:39.937608image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:40.094969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:40.246171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:40.399408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:40.551121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:40.698506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:40.847460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:41.008440image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:41.158912image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:41.309636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:41.476478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:41.646268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:41.795987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:41.947173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:42.104176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:42.248356image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:42.398682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:42.542308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:42.688817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:42.836762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:42.992822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:43.141536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:43.290022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:43.445607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:43.614459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:43.787533image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:43.950819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:44.107000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:44.258231image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:44.413198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:44.565653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:44.718368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:44.874854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:45.038854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:45.190921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:45.348826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:45.514333image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:45.669843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:45.825942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:45.982083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:46.141670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:46.288052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:46.445849image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:46.593596image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:46.745186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:46.897153image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:47.046839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:47.199547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:47.348233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:47.507568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:47.665254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:47.820405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:47.978831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:48.132144image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:48.281795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:48.444904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:48.596834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:48.748217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:48.902006image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:49.065882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:49.213122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:49.363109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:49.523033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:49.675319image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:49.823891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:49.975653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:50.132437image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:50.275614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:50.426343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:50.569337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:50.714958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:50.858195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:51.009382image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:51.159205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:51.346558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:51.498535image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:51.656323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:51.817447image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:51.994340image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:52.151138image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:52.296091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:52.441139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:52.585871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:52.735003image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:52.886441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:53.047551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:53.192486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:53.343856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:53.503923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:53.653726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:53.842502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:54.062843image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:54.283951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:54.498914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:54.727495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:54.899670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:55.081072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:55.285803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:55.451479image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:55.604678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:55.793230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:55.948060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:56.104008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:56.260345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:56.420236image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:56.572272image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:56.729742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:56.890022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:57.072529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:57.284745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:57.449081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:57.691245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:57.860130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:58.024182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:58.196383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:58.361534image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:58.521133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:58.680480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:58.928299image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:59.092789image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:59.250221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:59.404174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:59.559031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:59.715574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:12:59.873200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:00.032805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:00.191841image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:00.367301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:00.541851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:00.705583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:00.867701image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:01.045283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:01.206182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:01.379065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:01.558375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:01.737060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:01.904860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Correlations

2020-11-01T15:13:16.086125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-11-01T15:13:16.400787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-11-01T15:13:16.714454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-11-01T15:13:17.027776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-11-01T15:13:02.937618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
2020-11-01T15:13:04.527097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Sample

First rows

B_OWNPV_CHI2B_IPCHI2_OWNPVB_FDCHI2_OWNPVB_DIRA_OWNPVB_PTKst_892_0_IP_OWNPVKst_892_0_cosThetaHKplus_IP_OWNPVKplus_Ppiminus_IP_OWNPVpiminus_Pgamma_PTpiminus_ETAKplus_ETAsignalrandomtotal_mom_2total_mom_summom_rat_1mom_rat_2mom_rat_3mom_rat_4mom_rat_5mom_rat_6ThetaHKplus_P_xKplus_P_y
Id
028.8788472.6625332924.6909910.99999719085.5689450.569198-0.5755020.58156566850.8937110.63796914298.4861787940.6943012.6285262.6801161.00.8491834.896356e+0993877.1569570.2854952.4035140.4160580.1187823.5026938.4187722.18401554670.663301-38472.854902
134.2335660.092746346.9487140.9999976631.2445460.248707-0.6159410.27789839274.4750710.14881511553.1639343904.6813373.2925043.0857541.00.2170371.601704e+0949810.4009530.1688441.6982810.5888310.0994205.92264010.0583052.23437630940.134117-24190.752219
236.1136322.442423238.5530230.9999867740.9189890.2223470.2493830.21657627757.1538990.24984024081.1960034738.8916873.4336763.1219061.00.9097598.528385e+0840236.9645750.2788801.6334870.6121870.1707273.5857705.8573091.31875326880.1659066922.158148
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